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Optimal Cost for Time-Aware Cloud Resource Allocation in Business Process
Rania Ben Halima, Slim Kallel, Walid Gaaloul, Mohamed Jmaiel

Optimal Cost for Time-Aware Cloud Resource Allocation in Business Process

Science & Mathematics Published 2017 Verification Pending

Overview & Synopsis

Cloud Computing infrastructures are being increasingly used for running business process activities due to its high performance level and low operating cost. The enterprise QoS requirements are diverse and different resources are offered by Cloud providers in various QoS-based pricing strategies. Furthermore, business process activities are constrained by hard timing constraints and if they are not executed correctly the enterprise will pay penalties costs. Therefore, finding the optimal Cloud resources allocation for a business process becomes a highly challenging problem. While optimizing the Cloud resource allocation cost, it is important to respect activities QoS requirements and temporal constraints and Cloud pricing strategies constraints. The aim of the present paper is to offer a method that assists users finding the optimal pricing strategy for Cloud resource used by business process activities. Basically, we use a binary/(0-1) linear program with an objective function under a set of constraints. In order to show its feasibility, our approach has been implemented and the results of our experiments highlight the effectiveness of our proposed solution.

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Document Information

Document Title Optimal Cost for Time-Aware Cloud Resource Allocation in Business Process
Author / Organization Rania Ben Halima, Slim Kallel, Walid Gaaloul, Mohamed Jmaiel
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2017
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-171676
Original Source Link Visit Source Page on hal.science »